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Artificial Intelligence and Machine Learning 1 Flashcards | StudBud
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Artificial Intelligence and Machine Learning 1
Artificial Intelligence and Machine Learning 1
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1
The "V" in the 5 V's that refers to the accuracy and trustworthiness of data is:
Verification
Value
Validity
Veracity
2
Which of the 5 V's of Big Data refers to how quickly new data is created and processed?
Velocity
Variety
Veracity
Volume
3
Which type of machine learning is most similar to how humans learn to ride a bicycle?
Linear learning
Reinforcement learning
Unsupervised learning
Supervised learning
4
When teaching computers to recognize things, it's important to show them:
Both what to look for AND what to ignore
Only positive examples
As few examples as possible
Only negative examples
5
Which of the following is the "how much?" or "how many?" predictor
Classification
Regression
Clustering
Verification
6
What type of machine learning output predicts numerical values?
Regression
Classification
Clustering
Verification
7
Which of these is an advantage of tree-based models?
They can predict human emotions
They are visually easy to understand
They work well with unstructured data
They require minimal computing power
8
What is Machine Learning?
Computer systems designed only for data storage
The process of building physical robots
The ability of computers to mimic human emotions
AI systems that learn from data without explicit programming
9
What is the main limitation of linear models?
They require internet connection to function
They can only work with text data
They use too much computing power
They're too simple for complex relationships
10
TikTok's algorithm showing you content you might enjoy is an example of:
Overfitting problem
Hardware limitation
Reinforcement punishment
Supervised learning application
11
Spam filters deciding if an email is junk or important is an example of:
Regression
Clustering
Classification
Structuring
12
Which learning method finds patterns without being given the answers first?
Reinforcement learning
Supervised learning
Unsupervised learning
Structured learning
13
What type of learning occurs when a computer is trained with labeled examples?
Reinforcement learning
Unsupervised learning
Cognitive learning
Supervised learning
14
What is the main difference between supervised and unsupervised learning?
Supervised learning uses labeled examples, unsupervised doesn't
Supervised learning is for images, unsupervised is for text
Supervised learning requires human oversight, unsupervised doesn't
Supervised learning is faster, unsupervised is slower
15
What type of data is a spreadsheet an example of?
Unstructured data
Semi-structured data
Structured data
Operational logging data
16
Which machine learning approach is inspired by the human brain?
Artificial Neural Networks
Sequential Learning Models
Linear Model Approach
Tree-Based Model Approach
17
Which of these is NOT one of the three main machine learning algorithm approaches?
Database Query Approach
Linear Model Approach
Tree-Based Model Approach
Artificial Neural Networks
18
Netflix grouping similar viewers to recommend new shows is an example of:
Linear modeling
Regression
Classification
Clustering
19
Which of these is NOT a common limitation of machine learning systems?
Unlimited processing power
Hardware limitations
Social acceptance challenges
Data bias issues
20
What happens in overfitting?
The model is too large for the computer's memory
The model memorizes examples instead of learning concepts
The data becomes too complex to process
The computer overheats from processing
